ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2112.14706
  4. Cited By
Intersection focused Situation Coverage-based Verification and
  Validation Framework for Autonomous Vehicles Implemented in CARLA

Intersection focused Situation Coverage-based Verification and Validation Framework for Autonomous Vehicles Implemented in CARLA

24 December 2021
Zaid Tahir
R. Alexander
ArXivPDFHTML

Papers citing "Intersection focused Situation Coverage-based Verification and Validation Framework for Autonomous Vehicles Implemented in CARLA"

5 / 5 papers shown
Title
Navigating the Edge with the State-of-the-Art Insights into Corner Case Identification and Generation for Enhanced Autonomous Vehicle Safety
Gabriel Kenji Godoy Shimanuki
Alexandre Moreira Nascimento
Lucio Flavio Vismari
Joao Batista Camargo Junior
Jorge Rady de Almeida Junior
Paulo Sergio Cugnasca
38
1
0
27 Feb 2025
Dance of the ADS: Orchestrating Failures through Historically-Informed
  Scenario Fuzzing
Dance of the ADS: Orchestrating Failures through Historically-Informed Scenario Fuzzing
Tong Wang
Taotao Gu
Huan Deng
Hu Li
Xiaohui Kuang
Gang Zhao
37
3
0
05 Jul 2024
Bridging Data-Driven and Knowledge-Driven Approaches for Safety-Critical
  Scenario Generation in Automated Vehicle Validation
Bridging Data-Driven and Knowledge-Driven Approaches for Safety-Critical Scenario Generation in Automated Vehicle Validation
Kunkun Hao
Lu Liu
Wen Cui
Jianxing Zhang
Songyang Yan
Yuxi Pan
Zijiang Yang
9
2
0
18 Nov 2023
One Ontology to Rule Them All: Corner Case Scenarios for Autonomous
  Driving
One Ontology to Rule Them All: Corner Case Scenarios for Autonomous Driving
Daniel Bogdoll
Stefani Guneshka
J. Marius Zöllner
16
27
0
01 Sep 2022
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
950
20,561
0
17 Apr 2017
1